jonflynn/urmp_abc_notation_25s

URMP ABC Notation 25s Dataset

Dataset Summary

The URMP ABC Notation 25s Dataset is a collection of question-and-answer pairs based on short audio clips from the University of Rochester Multi-Modal Music Performance (URMP) dataset. Each entry in the dataset provides:

• An id identifying the original audio file.
• A start_time indicating where the audio clip begins within the full audio file.
• A question generated to prompt music transcription via ABC notation.
• An answer which is the ABC notation.

This dataset is intended for training multi-modal audio-language models (like Spotify Llark and Qwen2-Audio) on the task of music transcription. The code I used for converting the MIDI to ABC notation is based on this script.

Why ABC?

The reasons for choosing this notation are:

• It's a minimalist format for writing music
• It's widely used and popular, language models already have good comprehension and know a lot about ABC notation.
• It's flexible and can easily be extended to include tempo changes, time signature changes, additional playing styles like mentioned above, etc…

Dataset Modifications to ABC Format

• Default octaves have been assigned to each instrument, using their most commonly played range. This reduces redundant octave notation.
• For consistency, I excluded pieces that contain time signature changes or significant tempo variations (greater than 10 BPM).
• All samples in this dataset contain active musical parts - sections with complete silence have been removed.

Licensing Information

• URMP Dataset: The original audio files are part of the URMP dataset. Refer to the URMP dataset license for terms of use.

Citation Information

If you use this dataset, please cite it as follows:

@dataset{urmp_abc_notation_25s_2024,
  title={URMP ABC Notation Dataset},
  author={Jon Flynn},
  year={2024},
  howpublished={\url{https://huggingface.co/datasets/jonflynn/urmp_abc_notation_25s}},
  note={ABC notation for the URMP dataset split into 25 second chunks},
}

Additionally, cite the original URMP dataset:

@article{li2018creating,
  title={Creating a Multimodal Dataset for Tracking Human Motion and Kinematics in Music Performances},
  author={Li, Chenyu and Xia, Wei and Akbari, Vahid and Duan, Zhiyao and Xu, Chenliang},
  journal={arXiv preprint arXiv:1807.09365},
  year={2018}
}

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Additional Resources:

• URMP Dataset Website: URMP Dataset
• ABC Notation: ABC Notation Official Website